Review operational costs, negotiate contracts with vendors, and manage vendor relationships. Requirements: Bachelor's degree in Engineering, Computer Science, or a related field. HV Authorised Person (Experienced with HV Systems) Electrical/Mechanical Engineering HNC or HND (Successfully completed apprenticeship in either) C&G Pts. 1 & 2, equivalent or exceeds. 17th Edition IEE: Wiring and Installation (Ability to attain 18th Edition through additional training) C&G 2391 test and inspection; BS 7671:2001 for inspection, testing and certification.
WHAT YOU WILL DO You are responsible to provide endpoint security supports on Windows ServersYou are responsible to develop and maintain security monitoring, auditing and reporting on the WINDOWS ServersDeal day-to-day with security incidentsSecurity Hardening on Windows ServersYou will be analyzing, evaluating and configuring the privileged Access request for WINDOWS servers.You will be supporting end-to-end internal security productYou will engage with project management to confirm that infrastructure components meet the acceptance criteria and are to the required standardWe emphasize teamwork hence provide advice and guidance to junior colleagues is a must APPLICATION YOU WILL USE: Internal security toolsEDR SolutionsSecurity standards and frameworksWindows ServersScripting languagesAntivirus Solution WHAT YOU SHOULD HAVE: Degree in Computer Science, Information Systems or equivalent experience5-7 years working experience in IT and 3 year in similar role advance knowledge of Windows server administration skills (Windows servers 2008/2012/2016/2019)Good knowledge of security standards Familiar to AD and its conceptGood knowledge of any EDR (Endpoint Detection and Response) solution Good knowledge of Malware protectionMust be able to provide 24x7 on-call support on a rotational basis during the weekend and also prepare to work during public holidays Independent and results oriented and driven by goal achievement with a strong focus on high qualityStrong in information acquisition and analysis, constructive challenge, building and managing partnerships, flexibility and stress management Creative problem-solving skills and ability to work conceptuallyMust be able to communicate effectively in English for both written and oral WHAT IS THE PLUS POINT (S) ITIL Foundation/ Certification knowledge a plus.PowerShell Scripting LanguageWHAT YOU WILL GET FROM US Great team of IT professionals with global working exposureMeal Card and Flexible Benefits – customized according to individual needsOn-going professional and technical training and certificationsA multicultural environment in modern officesChoose any day for your vacation from earned public holiday (Saturday and ad hoc)Smart casual everydayGlobal internal job opportunities available within DPDHLUnlimited Outpatient MedicalHome office possibilities Sounds good?
Therapeutic area knowledge in any of the following would be an advantage: respiratory, inflammatory, cardiovascular - metabolic, CNS, oncology. Computer skills including good knowledge of Microsoft Word, Excel and PowerPoint. Fluent language skills in English. Effective communication, organizational and problem-solving skills.
This includes the ability to work unsupervised, under pressure and meet deadlines • Creative with strong commitment to quality and excellence, and a continuous improvement mindset • Communication and time-management skills • Strong analytical skills and efficient problem solving • You are educated on master degree level in IT Security, Computer Science or equivalent, fluent in English WHAT IS THE PLUS POINT (S): • Certifications such as SEC545 (SANS), CCSP(ISC2), CISSP, CCSK(CSA), Microsoft Certified Azure Security or similar • DevSecOps experience related to application deployments on multi cloud • Strong experience on cloud platforms such as Google, Amazon and Azure WHAT YOU WILL GET FROM US: • Great team of IT professionals with global working exposure • On-going professional and technical training and certifications • Global internal job opportunities available within DPDHL • A multicultural environment • Meal Card and Flexible Benefits – customized according to individual needs • Choose any day for your vacation from earned public holiday (Saturday and ad hoc) • Smart casual dress code • Company Outpatient Medical • Home office possibilities Sounds good?
elasticsearch AWS Python Google BigQuery Google Cloud Platform Numpy Pandas Gitlab What you will do Design and develop innovative algorithms to power a personalized shopping experience, leveraging cutting-edge machine learning techniques Deploy your solutions into production, taking full ownership and ensuring high performance and scalability Combine your data science expertise with a pragmatic, agile approach to find innovative solutions and drive measurable results within a fast-paced environment Challenge the status quo by identifying areas for improvement in existing retrieval and reranking systems, particularly those relying heavily on business logic, and propose data-driven solutions Thrive in a dynamic, fast-paced environment with a flat hierarchy, where your ideas and contributions can make a real difference Who you are Proficiency in Python or experience with at least one scientific computing language (e.g., MATLAB, R, Julia, C++) Strong SQL skills with experience in analytical or transactional database environments Theoretical understanding of machine learning principles, coupled with a hands-on approach to building and iterating on models Proven experience in building and deploying machine learning solutions that deliver tangible business value Strong understanding of data structures, algorithms, and tools for efficiently handling large datasets (e.g. pandas, numpy, dask, arrow, polars, …) Experience designing, building, and managing data pipelines Familiarity with cloud-based model training and serving platforms (e.g., GCP Vertex AI, Amazon SageMaker) Solid understanding of statistical methods for model evaluation Big Data: Experience analyzing large datasets using statistical and machine learning techniques DevOps: Familiarity with CI/CD tools (e.g., GitLab CI/CD, Hashicorp Terraform) is a plus Generative AI: Experience with generative AI and agentic frameworks (e.g., LangChain, ADK, CrewAI, Pydantic AI, …) is a plus Understanding of recommendation, retrieval and reranking systems in e-commerce and retail is a plus Excellent written and verbal communication skills in English Ability to effectively communicate complex machine learning concepts to both technical and non-technical stakeholders Proven ability to collaborate effectively within a team to establish standards and best practices for deploying machine learning models A proactive approach to knowledge sharing and fostering a quick development environment Nice to have Experience with BigQuery Knowledge of time series and (graph) neural network models Familiarity with statistical testing and Gaussian Processes Strong Knowledge of Computer Vision libraries, (e.g. OpenCV, TensorFlow, PyTorch) Experience maintaining Machine Learning pipelines through MLOps frameworks (e.g.
What You’ll Do Drive Measurable Business ImpactIndependently lead AI and analytics initiatives that generate tangible business valueActively contribute to and influence the company’s strategic directionApply Advanced Analytics & AIDevelop and apply advanced statistical methods in an agile environmentWork on business-critical questions using: Regression models, Time series analysis and Machine learning & AI algorithmsCollaborate cross-functionally or drive initiatives independentlyTurn Data into ActionDesign and execute analyses on large datasetsTranslate findings into clear, actionable recommendationsWork across the full spectrum — from Excel-based analysis to deep learning models Build Scalable AI SolutionsDevelop and own customized Data Science and AI solutionsWork with SQL on Azure and Snowflake platforms, Python is nice to haveLead projects end-to-end: from Proof of Concept (PoC) to fully operational production modelsCreate audience-tailored presentationsTranslate complex analytical insights into clear business languageDeliver compelling data storytelling to support decision-making at all levels What makes you stand out Minimum 3 years of experience in Data Science, AI, Advanced Analytics, or similar rolesProven ability to generate measurable business value through data-driven solutionsStrong expertise in statistical modeling and machine learning techniquesHands-on experience with: Python, SQL, Azure and SnowflakeExperience building scalable models from PoC to productionStrong communication and stakeholder management skillsAbility to explain complex topics to both technical and non-technical audiencesBachelor’s or Master’s degree in Finance, Statistics, Computer Science, Mathematics, or a related quantitative field We are looking forward to your application and to applicants who enrich our diverse culture!
What makes you stand out You hold a Master’s degree in Economics, Mathematics, Statistics, Computer Science, or another related quantitative field.You bring at least 3 years of professional Data Science experience and have a proven track record of bringing models from the lab into real‑world production use cases.You are proficient in Python and SQL and have hands‑on experience building solutions on Azure and working with Snowflake.You have a deep understanding of statistical methods and apply them effectively in an agile, fast‑paced environment.You think in products, not experiments – model versioning, testing, and performance monitoring are second nature to you.You communicate complex topics clearly and with impact, presenting to different audiences confidently; you are fluent in English, and German skills are a plus.
We will need you to possess the following essential qualities and skills: Recognized Degree in IT; Computer Science; Software Engineering, Finance, Business Information Technology or relevant fieldsAbove 3.0 CGPA / Second Class upper (Hons)Less than 1-year of working experienceHighly self-motivated team player with good analytical and conceptual thinking, results-driven with initiative and good negotiation skillsAll rounded individual with a deep interest in IT industry who enjoys challenges and strive to work with professionals in IT industry globallyAble to quickly absorb professional knowledge, good in problem-solving, contribution and leadershipEagerness to take responsibility over complex processes and ability to multitaskExcellent verbal and written English WHAT IS THE PLUS POINT (S) Experience in self-initiated projectsBasic programming skills in any programming language WHAT YOU WILL GET FROM US Great team of IT professionals with global working exposureMeal Card and Flexible Benefits – customized according to individual needsOn-going professional and technical training and certificationsA multicultural environment in modern officesChoose any day for your vacation from earned public holiday (Saturday and ad hoc)Smart casual everydayGlobal internal job opportunities available within DPDHLUnlimited Outpatient MedicalHome office possibilities If you are up to the challenge, contact us today and we will ensure that you will have an experience of a lifetime.
Principal Accountabilities: Collaboration in projects of the European Data Science & Advanced Analytics Team.Concept, design, development and execution of complex innovative AI/Machine Learning solutions as well as execution and implementation of concept studies using advanced statistical methods.Development of deep learning models for structured medical concept extraction from unstructured data.Productionalization of machine learning algorithms in Big Data platforms.Application of modern data mining and machine learning techniques in connection with Healthcare Big Data to identify complex relationships and link heterogeneous data sources.Advanced usage of Large Language Models for summarization, chatbot, entity extraction etc.Develop foundational Deep Learning Models for assets and patients.Builds and trains new production grade algorithms that can learn from complex, high dimensional data to uncover patterns from which machine learning models and applications can be developed. Our Ideal Candidate Will Have: Master’s degree in Computer Science, Mathematics/Statistics, Economics/Econometrics or related field.Substantial years of professional experience in quantitative data analysis or PhD with at least 1 year of relevant professional experience with research in machine learning algorithms.Very good knowledge and in depth understanding of Machine Learning methods, both classical and deep learning models.Relevant experience with Natural Language Processing (NLP) models for extracting structured concepts from unstructured free text, including the design, training, and evaluation of information‑extraction pipelines.Very strong technical capability in Python, SQL, Hadoop ecosystem.Experience applying AI/Machine Learning methods to business questions.Very good knowledge of the higher statistical and econometric methods in theory and practice.Experience with handling Big Data.Ability to write clean, reusable, production-level codeExcellent communication skills (written and oral) including technical aspects of a project, ability to develop usable documentation, results interpretation and business recommendations.Strong analytic mindset and logical thinking capability, strong QC mindset.Knowledge of pharmaceutical market and experience with pharmaceutical data (medical, hospital, pharmacy, claims data) would be a plus, but not a must.Self-responsible for managing projects.Fluency in German & English.